Raleigh, Clionadh Anne

Civil war risk in democratic and non-democratic neighborhoods by Clionadh Raleigh(
)1
edition published
in
2007
in
English
and held by
47 WorldCat member
libraries
worldwide
This study questions the extent to which domestic conflict is influenced by national, regional, and international relationships.
It is designed to answer specific questions relating to the effects of neighboring characteristics on a state's risk of conflict
and instability: What is the interaction between neighboring conflict and political disorder? Do democratic neighborhoods
have different conflict trajectories than non-democratic neighborhoods and if so, where and why? Given that most poor countries
are located in poor and conflictual neighborhoods, to what extent is there a relationship between poverty and political disorder
in different regime neighborhoods? Using spatial lag terms to specify neighboring regime characteristics and multilevel models
to differentiate between explanatory levels, this study reiterates the importance of domestic and neighboring factors in promoting
or diminishing the risk of instability and conflict. However, the pronounced negative effects of autocratic and anocratic
neighborhoods are mitigated by a growing domestic GDP. This study also finds that democratic neighborhoods are more stable,
regardless of income level. Research presented here is unique in its contribution on how regime type is a significant development
indicator, which in turn is salient in determining the risks of civil war across states

Population size, concentration, and civil war : a geographically disaggregated analysis by Clionadh Raleigh(
)1
edition published
in
2007
in
English
and held by
30 WorldCat member
libraries
worldwide
Why do larger countries have more armed conflict? This paper surveys three sets of hypotheses forwarded in the conflict literature
regarding the relationship between the size and location of population groups: Hypotheses based on pure population mass, on
distances, on population concentrations, and some residual state-level characteristics. The hypotheses are tested on a new
dataset-ACLED (Armed Conflict Location and Events Dataset)-which disaggregates internal conflicts into individual events.
The analysis covers 14 countries in Central Africa. The conflict event data are juxtaposed with geographically disaggregated
data on populations, distance to capitals, borders, and road networks. The paper develops a statistical method to analyze
this type of data. The analysis confirms several of the hypotheses